install.packages('twitteR')
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("rtweet")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("dplyr")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("tm")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("tidytext")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("plotly")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("wordcloud")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("wordcloud2")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("RColorBrewer")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("magrittr")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("ggplot2")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
install.packages("stringr")
## Installing package into '/cloud/lib/x86_64-pc-linux-gnu-library/4.2'
## (as 'lib' is unspecified)
library(twitteR)
library(rtweet)
## 
## Attaching package: 'rtweet'
## The following object is masked from 'package:twitteR':
## 
##     lookup_statuses
library(dplyr)
## 
## Attaching package: 'dplyr'
## The following objects are masked from 'package:twitteR':
## 
##     id, location
## The following objects are masked from 'package:stats':
## 
##     filter, lag
## The following objects are masked from 'package:base':
## 
##     intersect, setdiff, setequal, union
library(tm)
## Loading required package: NLP
library(plotly)
## Loading required package: ggplot2
## 
## Attaching package: 'ggplot2'
## The following object is masked from 'package:NLP':
## 
##     annotate
## 
## Attaching package: 'plotly'
## The following object is masked from 'package:ggplot2':
## 
##     last_plot
## The following object is masked from 'package:stats':
## 
##     filter
## The following object is masked from 'package:graphics':
## 
##     layout
library(tidytext)
library(wordcloud)
## Loading required package: RColorBrewer
library(wordcloud2)
library(RColorBrewer)
library(magrittr)
library(ggplot2)
library(stringr)

CONSUMER_SECRET <- "QIRfYugwmcPxAjR7Z05s1WJKDFMPE3pRiEtzsvFfkgFoFyIB8Z"
CONSUMER_KEY <- "MkIJjzJ0eqOgxPjlzA9tN86OB"
ACCESS_SECRET <- "KQmifcOdtw68DHwt0C2IRLKVbHvb43eJt2qcP9YNKhF5C"
ACCESS_TOKEN <- "1595764187086479361-gz2Gqb9wQcCQJriDGBBhO3AxalNMJi"

setup_twitter_oauth(consumer_key = CONSUMER_KEY,
                    consumer_secret = CONSUMER_SECRET,
                    access_token = ACCESS_TOKEN,
                    access_secret = ACCESS_SECRET)
## [1] "Using direct authentication"

trendTweets <- searchTwitter("BLACKPINK -filter:retweets",
                             n = 10000,
                             since = "2022-11-23",
                             until = "2022-11-30",
                             lang = "en", 
                             retryOnRateLimit = 120)
## [1] "Rate limited .... blocking for a minute and retrying up to 119 times ..."
## [1] "Rate limited .... blocking for a minute and retrying up to 118 times ..."
## [1] "Rate limited .... blocking for a minute and retrying up to 117 times ..."

#Convert data into dataframe

trendTweetsDF <- twListToDF(trendTweets)
class(trendTweetsDF)
## [1] "data.frame"
names(trendTweetsDF)
##  [1] "text"          "favorited"     "favoriteCount" "replyToSN"    
##  [5] "created"       "truncated"     "replyToSID"    "id"           
##  [9] "replyToUID"    "statusSource"  "screenName"    "retweetCount" 
## [13] "isRetweet"     "retweeted"     "longitude"     "latitude"
View(trendTweetsDF)
## Warning in View(trendTweetsDF): unable to open display
## Error in .External2(C_dataviewer, x, title): unable to start data viewer
head(trendTweetsDF)[1:5]
##                                                                                                                                           text
## 1 @httpzkai Like " blackpink opened their legs and had sex with the whole industry they are wh0res and sex dolls " wh… https://t.co/9YBpblexvS
## 2                                                                                                            @YouTube Pink Venom by @BLACKPINK
## 3                                                                                                 Blackpink \U{01faf6} https://t.co/YPBQ2V51aw
## 4                                                                                 Anyone selling #BLACKPINK for #London tomorrow or Dec 1?😭✨
## 5                                                                            @warteamblinks JISOO \n\nBLACKPINK (@BLACKPINK) #TPHAs22BLACKPINK
## 6                                       if anyone is going to day 2 blackpink london, wanna be moots/friends? #blackpinklondon #bornpinklondon
##   favorited favoriteCount     replyToSN             created
## 1     FALSE             1     veryjoy00 2022-11-29 23:59:56
## 2     FALSE             1       YouTube 2022-11-29 23:59:56
## 3     FALSE             0          <NA> 2022-11-29 23:59:43
## 4     FALSE             0          <NA> 2022-11-29 23:59:40
## 5     FALSE             0 warteamblinks 2022-11-29 23:59:36
## 6     FALSE             0          <NA> 2022-11-29 23:59:35
head(trendTweetsDF$text)[1:5]
## [1] "@httpzkai Like \" blackpink opened their legs and had sex with the whole industry they are wh0res and sex dolls \" wh… https://t.co/9YBpblexvS"
## [2] "@YouTube Pink Venom by @BLACKPINK"                                                                                                             
## [3] "Blackpink \U{01faf6} https://t.co/YPBQ2V51aw"                                                                                                  
## [4] "Anyone selling #BLACKPINK for #London tomorrow or Dec 1?😭✨"                                                                                  
## [5] "@warteamblinks JISOO \n\nBLACKPINK (@BLACKPINK) #TPHAs22BLACKPINK"
save(trendTweetsDF,file = "trendingTweetsDF.Rdata")
load(file = "trendingTweetsDF.Rdata")

#Removes some (unicode?) values in text field

trendTweetsDF$text <- sapply(trendTweetsDF$text,function(x) iconv(x,to='UTF-8'))

load(file = "trendingTweetsDF.Rdata")
trendTweetsDF$text <- sapply(trendTweetsDF$text,function(x) iconv(enc2utf8(x), sub="byte"))

head(trendTweetsDF$text)
## [1] "@httpzkai Like \" blackpink opened their legs and had sex with the whole industry they are wh0res and sex dolls \" wh… https://t.co/9YBpblexvS"
## [2] "@YouTube Pink Venom by @BLACKPINK"                                                                                                             
## [3] "Blackpink \U{01faf6} https://t.co/YPBQ2V51aw"                                                                                                  
## [4] "Anyone selling #BLACKPINK for #London tomorrow or Dec 1?😭✨"                                                                                  
## [5] "@warteamblinks JISOO \n\nBLACKPINK (@BLACKPINK) #TPHAs22BLACKPINK"                                                                             
## [6] "if anyone is going to day 2 blackpink london, wanna be moots/friends? #blackpinklondon #bornpinklondon"

#Subsetting using the dplyr()package

tweetsDF <- trendTweetsDF %>%
select(screenName,text,created,statusSource)             

#saving file as Rdata

save(tweetsDF, file = "tweetsDF.Rdata")

#saving file as csv

write.csv(tweetsDF,file = "tweetsDF.csv")

#Grouping the date created

tweetsDF %>%  
  group_by(1) %>%  
  summarise(max = max(created), min = min(created))
## # A tibble: 1 × 3
##     `1` max                 min                
##   <dbl> <dttm>              <dttm>             
## 1     1 2022-11-29 23:59:56 2022-11-29 11:35:37

#tweetsDF %<>%

tweetsDF %<>% 
mutate(Created_At_Round = created%>% 
      round(units = 'hours') %>% 
      as.POSIXct())
tweetsDF %>% pull(created) %>% min()
## [1] "2022-11-29 11:35:37 UTC"
tweetsDF %>% pull(created) %>% max()
## [1] "2022-11-29 23:59:56 UTC"

#plot on tweets by time using the library(plotly) and ggplot()

plt <- tweetsDF %>% 
  dplyr::count(Created_At_Round) %>% 
  ggplot(mapping = aes(x = Created_At_Round, y = n)) +
  theme_light() +
  geom_line() +
  xlab(label = 'Date') +
  ylab(label = NULL) +
  ggtitle(label = 'Number of Tweets per Hour')

plt %>% ggplotly()

#plotting time series graph using ts_plot() by rtweet package

ts_plot(tweetsDF, "hours") +
  labs(x = NULL, y = NULL,
       title = "Frequency of tweets with a #BLACKPINK hashtag",
       subtitle = paste0(format(min(tweetsDF$created), "%d %B %Y"), " to ", 
                         format(max(tweetsDF$created),"%d %B %Y")),
       caption = "Data collected from Twitter's REST API via twitteR") +
  theme_minimal()

#creating histogram

ggplot(data = tweetsDF, aes(x = created)) +
  geom_histogram(aes(fill = ..count..)) +
  theme(legend.position = "none") +
  xlab("Time") + ylab("Number of tweets") + 
  scale_fill_gradient(low = "pink", high = "black")
## Warning: The dot-dot notation (`..count..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## `stat_bin()` using `bins = 30`. Pick better value with `binwidth`.

#Trend Analysis using the source

encodeSource <- function(x) {
  if(grepl(">Twitter for iPhone</a>", x)){
    "iphone"
  }else if(grepl(">Twitter for iPad</a>", x)){
    "ipad"
  }else if(grepl(">Twitter for Android</a>", x)){
    "android"
  } else if(grepl(">Twitter Web Client</a>", x)){
    "Web"
  } else if(grepl(">Twitter for Windows Phone</a>", x)){
    "windows phone"
  }else if(grepl(">dlvr.it</a>", x)){
    "dlvr.it"
  }else if(grepl(">IFTTT</a>", x)){
    "ifttt"
  }else if(grepl(">Facebook</a>", x)){  #This looks unreliable...
    "facebook"
  }else {
    "others"
  }
}

tweetsDF$tweetSource = sapply(tweetsDF$statusSource, 
                              encodeSource)

tweet_appSource <- tweetsDF %>% 
  select(tweetSource) %>%
  group_by(tweetSource) %>%
  summarize(count=n()) %>%
  arrange(desc(count)) 

#plotting using geom_bar() - bar graph

ggplot(tweetsDF[tweetsDF$tweetSource != 'others',], aes(tweetSource, fill = tweetSource)) +
  geom_bar() +
  theme(legend.position="none",
        axis.title.x = element_blank(),
        axis.text.x = element_text(angle = 45, hjust = 1))+
  ylab("Number of tweets") +
  ggtitle("Tweets by Source")

dataDF <- data.frame(
  category = tweet_appSource$tweetSource,
  count = tweet_appSource$count
)

dataDF$fraction = dataDF$count / sum(dataDF$count)
dataDF$percentage = dataDF$count / sum(dataDF$count) * 100
dataDF$ymax = cumsum(dataDF$fraction)
dataDF$ymin = c(0, head(dataDF$ymax, n=-1))
dataDF$roundP = round(dataDF$percentage, digits = 2)

#plotting of category without values

ggplot(dataDF,aes(ymax=ymax, ymin=ymin, xmax=4, xmin=3, 
                  fill=category)) +
  geom_rect() +
  coord_polar(theta="y") + 
  xlim(c(2, 4)) +
  theme_void() +
  theme(legend.position = "right")

#plotting with values

Source <- paste(dataDF$category, dataDF$roundP, "%")

ggplot(dataDF, aes(ymax=ymax, ymin=ymin, xmax=4, xmin=3, fill=Source)) +
  geom_rect() +
  coord_polar(theta="y") +
  xlim(c(2, 4)) +
  theme_void() +
  theme(legend.position = "right")

#accounts which tweet about BLACKPINK

tweet_appScreen <- tweetsDF %>%
  select(screenName) %>%
  group_by(screenName) %>%
  summarize(count=n()) %>%
  arrange(desc(count)) 

#convert to Corpus
namesCorpus <- Corpus(VectorSource(tweetsDF$screenName))  

#using ScreenName
class(tweetsDF$screenName)
## [1] "character"

pal <- brewer.pal(8, "Dark2")
pal <- pal[-(1:4)]
set.seed(123)

par(mar = c(0,0,0,0), mfrow = c(1,1))

#Uing wordcloud ()package

wordcloud(words = namesCorpus, scale=c(3,0.5),
          max.words=500,
          random.order=FALSE,
          rot.per=0.5,
          use.r.layout=TRUE,
          colors=pal)
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#Using wordcloud2() package

wordcloud2(data=tweet_appScreen, 
           size=0.8, 
           color='random-dark',
           shape = 'pentagon')

#Using wordcloud2() package

wordcloud2(data=tweet_appScreen,
           size=0.8,
           color = "random-light",
           backgroundColor = "grey")